G
Gihwan Cho
Researcher at Chonbuk National University
Publications - 113
Citations - 1283
Gihwan Cho is an academic researcher from Chonbuk National University. The author has contributed to research in topics: Wireless sensor network & Routing protocol. The author has an hindex of 13, co-authored 108 publications receiving 749 citations. Previous affiliations of Gihwan Cho include University of Newcastle & Universities UK.
Papers
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Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city
TL;DR: This paper provides a comprehensive literature review of the security issues and problems that impact the deployment of blockchain systems in smart cities, and presents a detailed discussion of several key factors for the convergence of Blockchain and AI technologies that will help form a sustainable smart society.
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SH-BlockCC: A secure and efficient Internet of things smart home architecture based on cloud computing and blockchain technology:
TL;DR: This article presents a secure and efficient smart home architecture, which incorporates the blockchain and the cloud computing technologies for a cumulated solution and discovered that blockchain is an efficient security solution for the future Internet of things network.
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An efficient location and routing scheme for mobile computing environments
Gihwan Cho,Lindsay Marshall +1 more
TL;DR: This paper presents a method that exploits the locality properties of a host's pattern of movement and access history, and has the advantages of limiting location updates, and providing optimal routing, while increasing network and host scalability.
An Efficient Location and Routing Scheme for Mobile Computing Environments
Gihwan Cho,Lindsay Marshall +1 more
TL;DR: In this article, the locality properties of a host's pattern of movement and access history are exploited to confine the effects of host moving, so location updates are sent only to its local area, and to those source hosts which are most likely to call again.
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Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges
Md. Hasan Al Banna,Kazi Abu Taher,M. Shamim Kaiser,Mufti Mahmud,Md. Sazzadur Rahman,A. S. M. Sanwar Hosen,Gihwan Cho +6 more
TL;DR: Covering all existing AI-based techniques in earthquake prediction, this article provides an account of the available methodologies and a comparative analysis of their performances and outlines some open challenges and potential research directions in the field.